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Titlebook: Intrinsically Motivated Learning in Natural and Artificial Systems; Gianluca Baldassarre,Marco Mirolli Book 2013 Springer-Verlag Berlin He

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Exploration from Generalization Mediated by Multiple Controllers beyond to explore to learn and expand the actions they are capable of performing and to acquire skills that can be useful in future domains. We adopt a utilitarian view of this learning process, treating it in terms of exploration bonuses that arise from distributions over the structure of the worl
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Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity47 (2010b)] describes principles of a curious and creative agent that never stops generating nontrivial & novel & surprising tasks and data. Two modules are needed: a data encoder and a data creator. The former encodes the growing history of sensory data as the agent is interacting with its environm
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The Role of the Basal Ganglia in Discovering Novel Actionsch identifies the basal ganglia, a complex of subcortical nuclei, as important in both the selection of actions and in reinforcement learning. We discuss the complementarity of these problems of action selection and action learning. Two basic mechanisms of biasing action selection are identified: (a
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